From clunky third-party scoring to in-house real-time credit decisions · Modena case study · SRINI
Modena

From clunky third-party scoring to in-house real-time credit decisions

Modena is an Estonian fintech company offering BNPL, hire purchase, consumer loans and business credit. It is trusted by more than 100,000 customers and supervised by the Estonian Financial Supervision Authority (Finantsinspektsioon).

Modena

Target audience

B2C and B2B in one flow

New credit scoring system

Built in 3 months

Challenge

Modena wanted to expand its BNPL and lending offering, but its existing external credit scoring provider was slow, unreliable and forced customers through third-party interfaces, which damaged trust. For a licensed lender, that kind of friction in critical payment operations was unacceptable.

Solution

  • AI-powered credit scoring engine. Built in-house in three months; it processes the customer’s bank data, categorises it and returns a real-time creditworthiness score for both private and business customers.
  • B2C and B2B application portal. A single, seamless loan application flow whose decision logic adapts to the customer type.
  • Webshop plugins for merchants. Retailers can offer Modena’s BNPL service at checkout, extending Modena’s reach across Estonian digital retail.
  • No third-party redirects. Onboarding takes place in Modena’s own interface, eliminating the trust gap created by the previous provider.
  • AI in everyday workflows. Internal tools generate reports on demand and guide marketing by highlighting which customer to approach with which offer.

Results

  • Near-instant credit decisions, end to end within Modena’s own interface.
  • Higher scoring accuracy and lower default risk than with the previous external provider.
  • Wider merchant reach across Estonian e-commerce.
  • Faster product development – Modena can respond to market changes in days, not quarters.
Key takeawayIn regulated lending, owning the credit scoring layer unlocks speed and trust at the same time – and a small team can build it in months with AI-accelerated development.

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